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Data Platform Engineer, Autonomy Analytics

FieldAI

Peoria, IL • $150,000 to $180,000 / yr • 10/18/2026

Engineering , Information Technology , Professional

Job Description

Job Description
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
About The Job

As a Data Platform Engineer, Autonomy Analytics, you will turn what our robots do in the field into answers the autonomy team can act on. You will model mission, intervention, anomaly and sensor-health data into trusted datasets and metrics, build the dashboards and tools engineers use every day, and own the ranked list of field problems that drives the autonomy roadmap.

About the Data Platform Team

Every robot we deploy generates a continuous stream of telemetry, sensor logs and operational data from environments around the world. The Data Platform team builds the systems that capture every autonomy intervention, anomaly and operational signal, classify them, and turn them into the ranked problem list that drives our engineering roadmap.

What You'll Get To Do

  • Define and own the core autonomy metrics: interventions per hour and per kilometer, mission success, autonomy uptime, failure modes by site, release and robot

  • Build the data models (SQL transformations on Athena/Iceberg) that turn raw robot events and logs into clean, documented tables

  • Build and maintain dashboards and self-serve analysis tools (Superset or similar) for autonomy, field and leadership teams

  • Design event taxonomies and classification so interventions and anomalies are grouped by root cause, not by noise

  • Partner with autonomy engineers to measure releases: did this change reduce interventions, and where did it regress

  • Pull targeted signals out of robot logs (ROS2/MCAP topics) for deep-dive investigations

  • Own metric correctness: data quality tests, definitions in the catalog, and alerts when a number goes wrong

What You Have

  • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field

  • 3–5+ years in analytics engineering, data engineering, or data science on operational or product data

  • Expert SQL and strong Python (pandas or similar)

  • Experience modeling data in a warehouse or lakehouse (Athena/Trino, BigQuery, Snowflake, Databricks, Redshift)

  • Experience building dashboards and metrics that leaders and engineers actually rely on

  • Comfort with ambiguous questions: you can turn "why are we failing at this site?" into a query, a chart and a recommendation

  • Experience building products, not just answering requests: you build self-serve tools that let teams understand their own sites and robots without needing you in the loop

The Extras That Set You Apart

  • Experience with robotics, autonomous vehicles, or other fleet telemetry (time-series, event logs, bag files)

  • Familiarity with ROS/ROS2, MCAP or rosbag, or tools like Foxglove

  • Experience with a data catalog (OpenMetadata, DataHub) or data-quality frameworks

  • Statistics background: experiment design, regression detection, confidence on small samples

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.